Applied Statisticians (Lecturer / Associate Lecturer)

2 x full-time, 3 year fixed term opportunities. Located on the Camperdown Campus0.8 FTE Data Hub Statistician in the Charles Perkins Centre Data Hub and 0.2 FTE teaching in the School of Mathematics and StatisticsBase Salary, Level A/B $105,350 - $118,390 + 17% superannuationAbout the opportunityWe are currently seeking to appoint an Applied Statistician / Lecturer and an Applied Statistician / Associate Lecturer to work in the Data Hub at the (CPC) at the University of Sydney. The Data Hub is a new initiative of the CPC to increase capacity in data-intensive research with direct translational impact in biomedical and metabolomics health research. The Data Hub will enable context-specific data analysis on collaborative projects. In addition to working as a data statistician or data analyst, both positions are required to teach one day per week for the School of Mathematics and Statistics. One of the positions will also be required to manage the administration of the Data’s Hub’s services.The Charles Perkins Centre is a world leader in its unique approach to bringing together and aligning the University of Sydney’s many disciplines to find solutions to and advance our knowledge and understanding of obesity, diabetes and cardiovascular disease and related conditions, their causes and societal impacts. This creative approach aligns depths and strengths to find solutions to the growing pandemic of metabolic disease.The successful applicant will also be part of the and . We have a strong team working on various aspects of applied statistics and bioinformatics research.Your key responsibilities will be to:work independently and as part of a team to conduct data analysis on large-scale international biomedical datasetssupport the establishment of capacity in relationship to Global Biobank data including but not limiting to UK Biobankcontribute to publishing research papers in international peer-reviewed journals mentor undergraduate students and casual analystsundertake independent teaching in applied statisticsmanage administration of data hub services.About youThe University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for an Applied Statisticians / Lecturer and an Applied Statisticians/ Associate Lecturer who has:a strong statistical bioinformatics or statistical genetics backgroundexperience with high-dimensional data statistical analysisdemonstrated ability to conduct research / scholarly activities under limited supervision and as part of a multidisciplinary research teamgood organisational and administrative skills with attention to detailsuperior computer programming or software development skillsgood communication skills (both written and oral)potential to design and engage in high-quality teaching and learning experiences (in person and online)Applicants who demonstrate the following desirable criteria will be highly regarded:experience with processing or performing initial data analysis on recent platforms of omics data such as next generation sequencing or mass spectrometryexperience to guide application for large scale data bankexperience in analysing high-dimensional regression models and feature selectionexperience with statistics or biomedical data science consultingexperience teaching applied statistical methods to undergraduate and/or postgraduate studentsability to assist researchers from other disciplines as well as work with PhD students within the statistics bioinformatics research groupcomprehensive experience of common online bioinformatics software and databases such as PRIDE, UniProt, GenBank or BLAST etcstrong general IT skills, including familiarity with Linux/Unix environments and HPC server.To apply, please submit a cover letter that addresses the following questions and attach it to your application:1. Provide an example of your experience in high-dimension data analysis2. Brief outline your computer programming or software development skills in a computational language.3. Provide a brief description of your statistical data consulting experience or data collaborative experience.To keep our community safe, please be aware of our which form our conditions of entry for all staff, students and visitors coming to campus.Pre-employment checksYour employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.EEO statementAt the University of Sydney, our shared values include and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of , , , , and those who identify as . We welcome applications from candidates from all backgrounds.How to applyApplications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.For employees of the University or contingent workers, please login into your account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Simon Drew, Recruitment Operations, Human Resources at© The University of SydneyThe University reserves the right not to proceed with any appointment.Click to view the for this role.Applications Close Monday 06 May 2024 11:59 PM